toward an intelligent system architecture for smart
TRANSCRIPT
Jean-Charles Huet, Lamine Bougueroua, Yassine Kriouile and Alain Moretto
Toward an intelligent system architecture for smart agriculture: application to smart beehives
Contact: [email protected]
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► PNAPI• Main Partners: EFREI Paris, ITSAP
• Funder: Ministry of Agriculture and Food through CASDAR
• Aim: Digital Support Platform for Beekeepers
► Framework• Decisions classification
• Spatial dimension
• Temporal dimension
• To simplify the system design process
Context and Motivation
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► Digital agriculture and beekeeping
► Analysis with a spatio-temporal Matrix
► Use case on beekeeping domain
► Conclusion and future works
Outline
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Digital agriculture
Digital Agriculture
Big Data
Internet of Things
Cyber-physical systems
Cloud Computing
Artificialintelligence
Cybersecurity
Simulation
Autonomous robots
Horizontal & vertical
integration
Augmented Reality
Reuse of the 10 technologies of Industry 4.0
[Ahmed et al. IFIP 2013]
[Cardin et al. Computer in Industry 2019]
[Vincent, D.R et al. SENSORS (17) 2019]
[Vincent, D.R et al. SENSORS (17) 2019]
[Talavera, J.M. et al. Computers and Electronics in Agriculture, 2017]
[Talavera, J.M. et al. Computers and Electronics in Agriculture, 2017]
[Mouradian, C. et al. IEEE Communications Surveys & Tutorials 20(1),2018]
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Digital Beekeeping
► [Dogan et al. International advanced technologies symposium, 2017]
• Technical architecture
• Hive sensors and hardware study
• Limit: Microscopic level only
► [Zogovic et al. International Conference on Information Society and Technology, 2017]
• Cyber-Physical beekeeping
• OODA cycle
• Spatial dimension
• Limit:
• Missing example of decisions
• Missing temporal dimension
► Our contribution: A global framework classifying decisions using spatial and temporal dimensions & An application to beekeeping use case
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Spacio-temporal Matrix
► Two axis: the temporal horizon and the modeling level (spatial)
► Example in the literature:
- [Comelli et al. 2008]: supply chain
- [Chabrol et al. 2008]: hospital systems
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► The added value of the Matrix
• Allows to organize the different kinds of decisions using the time and geographical horizons
• First step toward a global methodology
► Methodology strengths
• Digitalization of beekeeping
• Digitalization of the agriculture
• Based on the recent works about Industry 4.0 and fog computing (Edge Computing)
► Future works: Continue to develop different utilization of the spacio-temporal matrix in collaboration with the Technical and Scientific Institute of Beekeeping and Pollination
Conclusion and future works
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► Jean-Charles Huet, Lamine Bougueroua
• AlliansTIC, EFREI Paris
► Yassine Kriouile
• MINES ParisTech, PSL University, Computer Science Research Center
► Alain Moretto
• ESITC Caen
Contact